An investigation of bankruptcy prediction in imbalanced datasets.

David Veganzones Eric Séverin

Published in: Decis. Support Syst. (2018)

Keyphrases

bankruptcy prediction
imbalanced datasets
cost sensitive learning
learning vector quantization
class distribution
decision trees

financial data
class imbalance
sampling methods
ensemble methods
imbalanced data
training dataset

feature selection algorithms
credit card
literature review
neural network
fraud detection
active learning

feature selection
minority class
cost sensitive
missing values
prediction accuracy